Talent24.ai
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Finding the right talent is a challenging and time-consuming task. That's why we developed Talent AI, an AI-powered hiring assistant designed to revolutionize the way you recruit. With Talent AI, you can use the power of AI to: โ - Improve your hiring process - save valuable time and resources - reduce biasโโ
AI-Analysis of CVs and Job Descriptions Talent AI reads and understands CVs, it then identifies all fields and content, in seconds! It uses the advanced capabilities of our state-of the art LLM.
Comprehensive Candidate evaluation Talent AI understands the capabilities of a candidate by applying advanced LLM technology. It evaluates skills, experience, education and certificates of the candidate to create KPIs, a strengths/weakness assessment and a general evaluation.โโโโโโโโโโโโโโโโโโ
Talent AI compares candidates' skills, experience and education with the job requirements. It even creates a match-score in order to find the best talent for each job:โโโโโโโโโโโโโโ
Job based individualised questionnaires Create tailored questionnaires for candidates to further assess their capabilities and suitability for the role. Each questionnaire takes into account the job description, can be tailored to a specific skill to be tested and can be designed either with multiple-choice or with open questions. After generating the questionnaire you can send a link to your candidates so they can fill it out online.
Let AI analyse the answers Talent AI analyses the open questions responses from the candidate and takes them into account to evaluate a candidate. Thus, the match score is much more accurate.
Download all your job offers plus candidates from LinkedIn You can import all job offers you posted on LinkedIn into Talent AI. Together with the job offers all talents who applied are also imported, with all their LinkedIn data (skills, work experience, certificates, languages, etc).
Talent24.ai GitHubTalent24.ai's answer
Because of the power of AI integrated in Talent AI. Also, basic functionality is completely free, no credit card required
Talent24.ai's answer
Recruiting companies and HR departments
Talent24.ai's answer
It is powered by AI
Based on our record, GitHub seems to be more popular. It has been mentiond 2474 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Import struct, json, urllib.request REL = "https://github.com/{owner}/{repo}/releases/download/{tag}/" PART = ["...part1.zip.001", "...part2.zip.002", "...part3.zip.003"] SIZE = [1992294400, 1992294400, 1893639808] # from the releases API Def grab(part, start, end, out): # HTTP range fetch req = urllib.request.Request(REL + PART[part], Headers={"Range":... - Source: dev.to / 3 days ago
Is published at https://github.com/.keys so an SSH server to which you connect could do a reverse lookup. This is the reason why my ~/.ssh/config has those 2 lines at the end:- Source: Hacker News / 10 days agoHost *.
All of this assumes you can actually inspect what the agent did โ the real inputs after resolution, the real tool outputs, the real intermediate steps. That is the other half of the workflow. AgentLens captures the trace: every model and tool step, resolved inputs, raw outputs. agent-eval scores and gates the output; AgentLens gives you the unforgeable, agent-didn't-author trace data for Tier 1+2 to score against... - Source: dev.to / 10 days ago
# git: the API token, plus the credential used for the push Kubectl create secret generic foreman-github \ --from-literal=GITHUB_TOKEN="$GITHUB_TOKEN" -n foreman-system Kubectl create secret generic foreman-git-credentials \ --from-literal=token="$GITHUB_TOKEN" -n foreman-system Helm upgrade foreman llmkube/foreman -n foreman-system --reuse-values \ --set agent.githubToken.secretName=foreman-github \ ... - Source: dev.to / 11 days ago
This is why eval and observability ship as a unit, not as separate purchases. agent-eval scores and gates the output โ the tiers above, drift, hallucination. AgentLens captures the trace of how the agent got there: every model step and tool call, the resolved inputs, the raw outputs, the trajectory. Two things fall out of that:. - Source: dev.to / 20 days ago
Textkernel - Semantic search for recruiters featuring talent discovery
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